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Artificial intelligence (AI) was developed to perform tasks that would generally require human intelligence. However, the technology currently has opened new growth avenues in the field of healthcare, such as clinical genomics. Through deep learning and machine learning, artificial intelligence is used to process large and complex genomic datasets. Although the use of AI and ML in genomics is in the early stage, the advantages associated such as accurate identification of genetic disorders, identification of the primary kind of cancer through liquid biopsy, and mapping the progress of cancer in individuals is expected to drive the growth of the market.
Furthermore, the adoption of AI solutions in the development of precision medicine, the increasing investment by major companies in the research and development of AI in genomics, and the growing government initiatives are fueling the market growth.
The covid-19 pandemic created significant opportunities for AI in genomics for drug discovery, development, and diagnostics. AI in genomics helped in the identification of the SARS-CoV-2 sequence during the pandemic. Furthermore, it also helped in the identification of the variants such as delta strains and omicron. Technologies such as bioinformatics, immune informatics, machine learning, and reverse vaccinology were used in the development of drugs and vaccines used for the treatment of the SARS-CoV-2 virus.
As the COVID-19 pandemic became a public health crisis, government regulatory bodies also partnered and collaborated with research institutes for assistance in COVID-19-related research.
The growing number of applications for AI in genomics during the pandemic has provided new growth avenues for the market.
Based on End User, the market is bifurcated into pharmaceutical and biotechnology companies, research institutes and others. Pharmaceutical and Biotechnology companies holds the largest segment in the market. These companies are currently adoption AI in genomics for drug discovery and development of precision medicine as it accelerates the drug discovery process by reducing the turnaround time. Furthermore, the increasing demand for innovative medicines for genetic disorders and infectious diseases positively effects the market growth.
Therefore, the application of AI in genomics during the drug discovery process reduces the operational cost and increases efficiency during drug manufacturing.
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North-America market holds the largest share in the market due to the increasing initiatives by government and research organizations to promote AI in genomics for the development of precision medicine. Furthermore, the presence of major companies in the region also contributes towards the growth and the increasing strategic initiatives like collaboration and partnership with pharmaceutical companies contribute towards positive market growth
Asia Pacific region is expected to witness lucrative growth due to the increasing integration of AI in genomics in countries like China and India. Furthermore, growing research initiatives and the developing infrastructure for genomic research also fuel the growth of the region in this market.
The report will include the profiles of key players such as IBM, Verge Genomics, Microsoft, DEEP GENOMICS, Fabric Genomics, Inc., Predictive Oncology, Illumina, Inc., DNAnexus, Inc., Emedgene, and other prominent players.
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